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Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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There is an abundance of challenging work here from major corporate clients, thus you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), machine learning (ML), enterprise and mobile applications, databases and data structures, web and cloud services, virtualization, operating systems, file systems.
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Element 84 is a woman-owned small business that works with public, private, and non-profit sector clients to develop geospatial data processing pipelines & build software that helps answer big questions about our health, our infrastructure, and our changing planet.
$137,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop and maintain data integration infrastructure: Design, develop, and optimize ETL processes using AWS Glue, Athena, Snowflake, DBT and other data engineering tools. You will leverage both SQL and Python-based approaches to work with native AWS data mesh technologies such as Glue and Athena, as well as Snowflake and DBT. You will work closely with a small, cohesive team, including software engineers and data scientists, to build a robust data platform that supports our mission to provide actionable insights for non-degree credentials.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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Currently pursuing a Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, CIS/MIS, Cybersecurity, Statistics, or related fields.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Full Stack Software Engineering - Capital One Software (Remote Eligible) 10+ years of experience in software engineering in one or more of the following: GoLang, Java, Python, React, Rust, or C.
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Experience with citations software, for example Endnote, and software for data and image analysis and illustrations is needed. May be asked to interpret complex data sets.
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5+ years of experience with artificial intelligence (AI), data science, ML engineering, data research, software engineering, or data analytics. You'll be part of a large community of ML engineers across the firm and collaborate with data engineers, data scientists, software engineers, solutions architects, and product owners to deliver world-class solutions to real-world problems, processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical technologies into efficient user experiences.
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Knowledge/Experience Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 3+ years of experience or Bachelor’s degree and 5+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
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A Bachelor of Science degree in Computer Science, Information Systems, Engineering, Telecommunications, or similar field required and a minimum of 5 years of penetration testing experience is required.
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Education: Bachelor's Degree (Geographic Information Science, computer science, cartographic science, geology, social science, environmental science or related technical field) and 4 years of experience OR Master's Degree and 2 years of experience.
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DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation.
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data science computer software engineering big jobs Company: Apple in Arlington, VA
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